Search results for "GUI"

Levels of comprehension of scientific prose: the role of text variables

1998

Abstract This research investigates the role played on shallow and deep levels of comprehension by textual changes that are aimed at: (a) improving the relationships within text ideas, and (b) producing better links between text ideas and the reader's knowledge. Four versions of a long physics passage were elaborated combining both kinds of textual changes. Four groups of tenth graders were each given one of the four versions. Different measures representative of these levels of comprehension were taken: getting main ideas, recall, and problem solving. The results indicated that: (a) main idea performance was affected by improving the relationships within text ideas, (b) both textual change…

La comprensione dell’altro tra spiegazioni mentalistiche e pratiche situate

2014

This essay presents current criticisms against a “mentalistic” interpretation of the practice of understanding others as providing some reasons for a redefinition of the structure of the problem rather than for its deconstruction. More specifically, I hypothesize that the problem of reconciling the practical status of our understanding with the reflective stance needed to understand and assess apparently “out of context” behavior is a legitimate one, and that the analysis of the normative structure of cooperative interaction provided by John Searle and Paul Grice can provide us with the tools to deal with this problem.

Local operators to detect regions of interest

1997

The performance of a visual system is strongly influenced by the information processing that is done in the early vision phase. The need exists to limit the computation on areas of interest to reduce the total amount of data and their redundancy. This paper describes a new method to drive the attention during the analysis of complex scenes. Two new local operators, based on the computation of local moments and symmetries, are combined to drive the selection. Experimental results on real data are also reported. © 1997 Elsevier Science B.V.

Software Architectures for Human-Machine Interaction Using Natural Language

Il linguaggio naturale rappresenta un sistema di comunicazione a carattere inferenziale in opposizione ai sistemi di comunicazione a codice che non prevedono una forma di ragionamento intelligente da parte del ricevente, ma si basano sul riconoscimento di patterns dell'informazione. In un sistema di comunicazione di tipo inferenziale, infatti, si parte dal presupposto che il ricevente abbia una certa "intelligenza" e sia, quindi, capace di comprendere, elaborare ed inferire il contenuto informativo di una comunicazione attraverso ragionamenti su un background di conoscenze (come modelli di mondo e di linguaggio) condivisi sia dalla sorgente che dal destinatario. L'attività di ricerca, svolt…

Local Total Variation Bounded Methods for Hyperbolic Conservation Laws

2003

On a new centered strategy to control the accuracy of weighted essentially non oscillatory algorithm for conservation laws close to discontinuities

2020

Efficient boundary integral-resonant mode expansion method implementation for full-wave analysis of passive devices based on circular waveguides with…

2013

In this study, the efficient full-wave analysis of passive devices composed of circular and arbitrarily-shaped waveguides is considered. For this purpose, the well-known boundary integral-resonant mode expansion (BI RME) method has been properly extended. Circular waveguides are used for resonant mode expansion, whereas the arbitrary contour is defined by any combination of straight, circular and elliptical segments, thus allowing the exact representation of the most widely used geometries. The proposed algorithm extends previous implementations of the BI RME method based on circular waveguides by considering circular and elliptical arcs for defining arbitrary geometries. Similarly, it allo…

L'estrazione automatica dei ruoli semantici corradicali. The importance of being Cognate

2022

This study will introduce a tool – termed NLPYTALY – for the automatictreatment of naturally-occurring texts in Italian. The tool distinguishesconstructs with an ordinary verb from those with a support verb. Mean-ing is rendered by using cognate (i.e. etymologically related) semantic roles (CSR), which differ from other roles because they are expressed withthe content morpheme of the predicate licensing arguments. CSRs offer anumber of advantages: they can be semi-automatically derived and use the who-does-what model. Besides, they facilitate the detection of anaphoric chains and produce a foreground/background opposition of the namedentities. Finally, they permit the construction of a chro…

Computational Modelling of Public Policy: Reflections on Practice

2018

Computational models are increasingly being used to assist in developing, implementing and evaluating public policy. This paper reports on the experience of the authors in designing and using computational models of public policy (‘policy models’, for short). The paper considers the role of computational models in policy making, and some of the challenges that need to be overcome if policy models are to make an effective contribution. It suggests that policy models can have an important place in the policy process because they could allow policy makers to experiment in a virtual world, and have many advantages compared with randomised control trials and policy pilots. The paper then summari…

A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning

2016

Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shapes the behavioral response. On the basis of previously developed neural models, inspired by Drosophila melanogaster, a new architecture for classification and sequence learning is here presented under the perspective of the Neural Reuse theory. Classification of relevant input stimuli is performed through resonant neurons, activated by the complex dynamics generated in a lattice of recurrent spiking neurons modeling the insect Mushroom Bodies n…